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Horde of Bandits using Gaussian Markov Random Fields., , и . AISTATS, том 54 из Proceedings of Machine Learning Research, стр. 690-699. PMLR, (2017)Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees., , , и . CoRR, (2023)Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent., , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 22015-22059. PMLR, (2022)A general class of surrogate functions for stable and efficient reinforcement learning., , , , , , , , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 8619-8649. PMLR, (2022)Near-Optimal Sample Complexity Bounds for Constrained MDPs., , и . NeurIPS, (2022)Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits., , , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 3601-3610. PMLR, (2019)Combining Bayesian Optimization and Lipschitz Optimization., , и . CoRR, (2018)Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron., , и . CoRR, (2018)Old Dog Learns New Tricks: Randomized UCB for Bandit Problems., , , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 1988-1998. PMLR, (2020)Target-based Surrogates for Stochastic Optimization., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 18614-18651. PMLR, (2023)